ASRock Z890M Riptide WiFi
Geekbench AI Score
6502
Single Precision Score
2443
Half Precision Score
11044
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 05 2025 04:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890M Riptide WiFi |
| Motherboard | ASRock Z890M Riptide WiFi |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5115
951.1 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (Q)
|
99% |
9277
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15670
254.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13391
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8062
9.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
44600
52.3 IPS |
|
|
Object Detection (SP)
|
100% |
4485
355.8 IPS |
|
|
Object Detection (HP)
|
100% |
949
75.3 IPS |
|
|
Object Detection (Q)
|
86% |
11503
924.5 IPS |
|
|
Face Detection (SP)
|
100% |
13746
163.3 IPS |
|
|
Face Detection (HP)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
13176
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15772
121.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3396
26.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
21400
170.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31334
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20233
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24589
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3087
114.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7210
267.0 IPS |
|
|
Text Classification (SP)
|
100% |
1932
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3062
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4478
90.0 IPS |
